Step 1: Define linear operators. Linear operators satisfy two properties for any vectors \( X, Y \) and scalar \( \lambda \): \( A(X + Y) = AX + AY \) (additivity) \( (\lambda A)X = \lambda (AX) \) (scalar multiplication)
Step 2: Analyze each option. \( (A + B)X = AX + BX \): This is correct because the addition of two linear operators applied to \( X \) distributes over the addition. \( (\lambda A)X = \lambda (AX) \): This is correct because scalar multiplication of a linear operator applies directly to the result of \( AX \). \( (AB)X = A(BX) \): This is correct because the composition of two linear operators \( A \) and \( B \) acting on \( X \) satisfies this property. \( (A + B)X = A^T X + B^T X \): This is incorrect because the transpose (\( A^T \)) is not involved unless explicitly stated, and it does not apply to the given scenario.
যদি \( \vec{a} = 4\hat{i} - \hat{j} + \hat{k} \) এবং \( \vec{b} = 2\hat{i} - 2\hat{j} + \hat{k} \) হয়, তবে \( \vec{a} + \vec{b} \) ভেক্টরের সমান্তরাল একটি একক ভেক্টর নির্ণয় কর।
যদি ভেক্টর \( \vec{\alpha} = a\hat{i} + a\hat{j} + c\hat{k}, \quad \vec{\beta} = \hat{i} + \hat{k}, \quad \vec{\gamma} = c\hat{i} + c\hat{j} + b\hat{k} \) একই সমতলে অবস্থিত (coplanar) হয়, তবে প্রমাণ কর যে \( c^2 = ab \)।
The respective values of \( |\vec{a}| \) and} \( |\vec{b}| \), if given \[ (\vec{a} - \vec{b}) \cdot (\vec{a} + \vec{b}) = 512 \quad \text{and} \quad |\vec{a}| = 3 |\vec{b}|, \] are: